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Probabilistic Evaluation of Modeling Parameters for Reinforced Concrete Moment Frame Building

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Building for the Future: Durable, Sustainable, Resilient (fib Symposium 2023)

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 350))

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Abstract

While modeling parameters and acceptance criteria in ASCE 41 are helpful to provide uniformity in the evaluation of different buildings, inconsistencies in their calibration can distort system behavior and location of plastic hinges, and lead to incorrect distributions of damage among building components. Modeling parameters and acceptance criteria for reinforced concrete columns in the ASCE 41–17 standard have undergone significant changes since their inception in early 2000s. The original set of modeling parameters, adopted from FEMA 356 (2000), were updated in a 2007 addendum to incorporate findings from component tests. Modeling parameters and acceptance criteria originally proposed based on engineering judgment were updated to reflect mean values from column tests in ASCE41–17. This study presents fragility relationships for the probability of exceedance of a modeling parameter or component damage state during a seismic hazard event as a function of ground motion intensity. The fragility relationships were developed using nonlinear dynamic analyses of a reinforced concrete building located in Van Nuys, California that was instrumented during several strong earthquakes.

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Correspondence to Hamid Khodadadi Koodiani .

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Suwal, A., Khodadadi Koodiani, H., Matamoros, A., Lepage, A. (2023). Probabilistic Evaluation of Modeling Parameters for Reinforced Concrete Moment Frame Building. In: Ilki, A., Çavunt, D., Çavunt, Y.S. (eds) Building for the Future: Durable, Sustainable, Resilient. fib Symposium 2023. Lecture Notes in Civil Engineering, vol 350. Springer, Cham. https://doi.org/10.1007/978-3-031-32511-3_9

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  • DOI: https://doi.org/10.1007/978-3-031-32511-3_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-32510-6

  • Online ISBN: 978-3-031-32511-3

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